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Characterizing and classifying IoT traffic in smart cities and campuses
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1109/ants.2016.7947781openalex-snapshot
Low-cost flow-based security solutions for smart-home IoT devices
inferredcites →https://doi.org/10.1109/cns.2014.6997469openalex-snapshot
An experimental study of security and privacy risks with emerging household appliances
inferredcites →https://doi.org/10.1145/2254756.2254767openalex-snapshot
A first look at cellular machine-to-machine traffic
inferredcites →https://doi.org/10.1145/2834050.2834095openalex-snapshot
Handling a trillion (unfixable) flaws on a billion devices
inferredcites →https://doi.org/10.6028/nist.tn.1867openalex-snapshot
Time-Aware Applications, Computers, and Communication Systems (TAACCS)
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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A Comparative Analysis of IoT Device Fingerprinting Methods
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An IoT Device Identification Method over Encrypted Traffic Based on t-SNE Dimensionality
inferred← citeshttps://doi.org/10.1109/iwcmc.2018.8450404openalex-snapshot
A Machine Learning Model for Classifying Unsolicited IoT Devices by Observing Network Telescopes
inferred← citeshttps://doi.org/10.1109/jcn.2020.000006openalex-snapshot
Routing optimization for cloud services in SDN-based Internet of Things with TCAM capacity constraint
inferred← citeshttps://doi.org/10.1109/jiot.2019.2901348openalex-snapshot
Capsule Network Assisted IoT Traffic Classification Mechanism for Smart Cities
inferred← citeshttps://doi.org/10.1109/jiot.2019.2926365openalex-snapshot
A Supervised Intrusion Detection System for Smart Home IoT Devices
inferred← citeshttps://doi.org/10.1109/jiot.2020.2981958openalex-snapshot
Dyme: Dynamic Microservice Scheduling in Edge Computing Enabled IoT
inferred← citeshttps://doi.org/10.1109/jiot.2020.2984030openalex-snapshot
Detecting Behavioral Change of IoT Devices Using Clustering-Based Network Traffic Modeling
inferred← citeshttps://doi.org/10.1109/jiot.2020.3010023openalex-snapshot
IoT-Praetor: Undesired Behaviors Detection for IoT Devices
inferred← citeshttps://doi.org/10.1109/jiot.2020.3036157openalex-snapshot
Budgeted Online Selection of Candidate IoT Clients to Participate in Federated Learning
inferred← citeshttps://doi.org/10.1109/jiot.2020.3046448openalex-snapshot
Centralized and Distributed Age of Information Minimization With Nonlinear Aging Functions in the Internet of Things
inferred← citeshttps://doi.org/10.1109/jiot.2020.3048439openalex-snapshot
Application Domains, Evaluation Data Sets, and Research Challenges of IoT: A Systematic Review
inferred← citeshttps://doi.org/10.1109/jiot.2021.3075681openalex-snapshot
Fault-Tolerant Mechanism for Edge-Based IoT Networks With Demand Uncertainty
inferred← citeshttps://doi.org/10.1109/jiot.2021.3078879openalex-snapshot
Distinguishing Between Smartphones and IoT Devices via Network Traffic
inferred← citeshttps://doi.org/10.1109/jiot.2021.3079115openalex-snapshot
Application-Oriented Traffic Modeling of WiFi-Based Internet of Things Gateways
inferred← citeshttps://doi.org/10.1109/jiot.2021.3099028openalex-snapshot
Machine Learning for the Detection and Identification of Internet of Things Devices: A Survey
inferred← citeshttps://doi.org/10.1109/jiot.2021.3113577openalex-snapshot
MUD-Based Behavioral Profiling Security Framework for Software-Defined IoT Networks
inferred← citeshttps://doi.org/10.1109/jiot.2021.3113777openalex-snapshot
Q-Flag: QoS-Aware Flow-Rule Aggregation in Software-Defined IoT Networks
inferred← citeshttps://doi.org/10.1109/jiot.2021.3121517openalex-snapshot
IoT Network Traffic Classification Using Machine Learning Algorithms: An Experimental Analysis
inferred← citeshttps://doi.org/10.1109/jiot.2021.3138391openalex-snapshot
Q-Soft: QoS-Aware Traffic Forwarding in Software-Defined Cyber–Physical Systems
inferred← citeshttps://doi.org/10.1109/jiot.2023.3245153openalex-snapshot
Feature Engineering and Machine Learning Framework for DDoS Attack Detection in the Standardized Internet of Things
inferred← citeshttps://doi.org/10.1109/jiot.2023.3263258openalex-snapshot
MVNOCoreSim: A Digital Twin for Virtualized IoT-Centric Mobile Core Networks
inferred← citeshttps://doi.org/10.1109/jiot.2023.3263487openalex-snapshot
Two-Stage Distillation-Aware Compressed Models for Traffic Classification
inferred← citeshttps://doi.org/10.1109/jiot.2025.3554008openalex-snapshot
Lightweight Hybrid Device Identification for IoT Applications
inferred← citeshttps://doi.org/10.1109/jlt.2020.2975641openalex-snapshot
Modeling and Assessing Connectivity Services Performance in a Sandbox Domain
inferred← citeshttps://doi.org/10.1109/jocici48395.2019.9105276openalex-snapshot
Characterization of Google Home Traffic in a Home Network
inferred← citeshttps://doi.org/10.1109/jphot.2024.3388571openalex-snapshot
Deep Reinforcement Learning Based Joint Allocation Scheme in a TWDM-PON-Based mMIMO Fronthaul Network
inferred← citeshttps://doi.org/10.1109/jproc.2020.3032074openalex-snapshot
A Survey of Cybersecurity of Digital Manufacturing
inferred← citeshttps://doi.org/10.1109/jsac.2019.2894239openalex-snapshot
FlowStat: Adaptive Flow-Rule Placement for Per-Flow Statistics in SDN
inferred← citeshttps://doi.org/10.1109/jsen.2021.3124886openalex-snapshot
IoT-Sentry: A Cross-Layer-Based Intrusion Detection System in Standardized Internet of Things
inferred← citeshttps://doi.org/10.1109/lanman49260.2020.9153235openalex-snapshot
Generating IoT traffic: A Case Study on Anomaly Detection
inferred← citeshttps://doi.org/10.1109/lcn.2018.8638232openalex-snapshot
Automatic Device Classification from Network Traffic Streams of Internet of Things
inferred← citeshttps://doi.org/10.1109/lcn44214.2019.8990797openalex-snapshot
Inferring IoT Device Types from Network Behavior Using Unsupervised Clustering
inferred← citeshttps://doi.org/10.1109/lcn52139.2021.9525007openalex-snapshot
On Quantifying the Complexity of IoT Traffic
inferred← citeshttps://doi.org/10.1109/lcn65610.2025.11146287openalex-snapshot
IoTCommFreq: Efficient IoT Device Fingerprinting Through Network Behaviour Analysis Using Frequency of Communication
inferred← citeshttps://doi.org/10.1109/lcn65610.2025.11146296openalex-snapshot
A Dynamic GAN-Based Obfuscation Approach Against Profiling Attacks
inferred← citeshttps://doi.org/10.1109/lcomm.2021.3137634openalex-snapshot
A Few-Shot Learning Based Approach to IoT Traffic Classification
inferred← citeshttps://doi.org/10.1109/lwc.2021.3097391openalex-snapshot
Detection of Hijacking DDoS Attack Based on Air Interface Traffic
inferred← citeshttps://doi.org/10.1109/mascots56607.2022.00012openalex-snapshot
NorBERT: NetwOrk Representations Through BERT for Network Analysis & Management
inferred← citeshttps://doi.org/10.1109/mass50613.2020.00080openalex-snapshot
Towards a Unified Trust Framework for Detecting IoT Device Attacks in Smart Homes
inferred← citeshttps://doi.org/10.1109/mass52906.2021.00082openalex-snapshot
A QoS-aware Routing based on Bandwidth Management in Software-Defined IoT Network
inferred← citeshttps://doi.org/10.1109/mass56207.2022.00060openalex-snapshot
A Bi-Layer Intrusion Detection Based on Device Behavior Profiling for Smart Home IoT
inferred← citeshttps://doi.org/10.1109/mwc.001.2000172openalex-snapshot
Blockchain Radio Access Network Beyond 5G
inferred← citeshttps://doi.org/10.1109/nnice58320.2023.10105697openalex-snapshot
An IoT Device Recognition Method based on Convolutional Neural Network
inferred← citeshttps://doi.org/10.1109/noms47738.2020.9110329openalex-snapshot
NFV-based IoT Security for Home Networks using MUD
inferred← citeshttps://doi.org/10.1109/noms47738.2020.9110451openalex-snapshot
IoT or NoT: Identifying IoT Devices in a Short Time Scale
inferred← citeshttps://doi.org/10.1109/noms54207.2022.9789901openalex-snapshot
Data Usage in IoT: A Characterization of GTP Tunnels in M2M Mobile Networks
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